{"id":"https://openalex.org/W2162821693","doi":"https://doi.org/10.1109/icassp.2011.5946658","title":"Motion-decision based spatiotemporal saliency for video sequences","display_name":"Motion-decision based spatiotemporal saliency for video sequences","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2162821693","doi":"https://doi.org/10.1109/icassp.2011.5946658","mag":"2162821693"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101564873","display_name":"Yaping Zhu","orcid":"https://orcid.org/0000-0002-8150-6366"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Yaping Zhu","raw_affiliation_strings":["Department of Communication Engineering, Communication University of China, Beijing, China","Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079015224","display_name":"Natan Jacobson","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natan Jacobson","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083939413","display_name":"Hong Pan","orcid":"https://orcid.org/0000-0002-0539-7997"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Pan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102719190","display_name":"Truong Q. Nguyen","orcid":"https://orcid.org/0000-0002-5022-063X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Truong Nguyen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101564873"],"corresponding_institution_ids":["https://openalex.org/I36258959","https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":1.0302,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81221429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":null,"first_page":"1333","last_page":"1336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7893946170806885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7581848502159119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7220162153244019},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7088449597358704},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6682168841362},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6658344268798828},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6444790363311768},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.61408531665802},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.5971275568008423},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5628718733787537},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.5259285569190979},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5103487372398376},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5045431852340698},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.48853716254234314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4351121187210083},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.41065680980682373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22983136773109436},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2149549126625061},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.18623924255371094},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.14624625444412231}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7893946170806885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7581848502159119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7220162153244019},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7088449597358704},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6682168841362},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6658344268798828},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6444790363311768},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.61408531665802},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.5971275568008423},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5628718733787537},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.5259285569190979},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5103487372398376},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5045431852340698},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.48853716254234314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4351121187210083},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.41065680980682373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22983136773109436},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2149549126625061},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.18623924255371094},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.14624625444412231},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2011.5946658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:58fae978-0609-40a1-9059-deaecbcfdfb4/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/455619","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, 22-27 May 2011, pp. 1333-1336","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1497599070","https://openalex.org/W2078132377","https://openalex.org/W2128272608","https://openalex.org/W2133589685","https://openalex.org/W2135957164","https://openalex.org/W2138608979","https://openalex.org/W2140341614","https://openalex.org/W2154434941","https://openalex.org/W2164720308","https://openalex.org/W2170610624","https://openalex.org/W2766314245","https://openalex.org/W6629672220","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2032145508","https://openalex.org/W2079698029","https://openalex.org/W2060632806","https://openalex.org/W4285350705","https://openalex.org/W1579940903","https://openalex.org/W2548747278","https://openalex.org/W2358300437","https://openalex.org/W1988704969","https://openalex.org/W2366349316","https://openalex.org/W2402259974"],"abstract_inverted_index":{"An":[0],"adaptive":[1],"spatiotemporal":[2],"saliency":[3,35,45,76,102],"algorithm":[4,110],"for":[5,25],"video":[6,23,118],"attention":[7],"detection":[8],"using":[9,39],"motion":[10,20,68,81,87],"vector":[11],"decision":[12,64],"is":[13,73,78,89],"proposed,":[14],"motivated":[15],"by":[16,38,53,80],"the":[17,34,43,63,75,108],"importance":[18],"of":[19,42],"information":[21],"in":[22,47,117],"sequences":[24,119],"human":[26],"visual":[27],"system.":[28],"This":[29],"novel":[30],"system":[31],"can":[32,111],"detect":[33,112],"regions":[36],"quickly":[37],"only":[40],"part":[41],"classic":[44],"features":[46,94],"each":[48],"iteration.":[49],"Motion":[50],"vectors":[51],"calculated":[52],"block":[54],"matching":[55],"and":[56,82,92,115,121],"optical":[57],"flow":[58],"are":[59,95],"used":[60],"to":[61,97],"determine":[62],"condition.":[65],"When":[66],"significant":[67],"contrast":[69,88],"occurs":[70],"(decision":[71],"condition":[72],"satisfied),":[74],"area":[77],"detected":[79],"intensity":[83],"features.":[84],"Otherwise,":[85],"when":[86],"low,":[90],"color":[91],"orientation":[93],"added":[96],"form":[98],"a":[99],"more":[100],"detailed":[101],"map.":[103],"Experimental":[104],"results":[105],"show":[106],"that":[107],"proposed":[109],"salient":[113],"objects":[114],"actions":[116],"robustly":[120],"efficiently.":[122]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}